── Attaching core tidyverse packages ──────────────────────── tidyverse 2.0.0 ──
✔ dplyr     1.1.4     ✔ readr     2.1.5
✔ forcats   1.0.0     ✔ stringr   1.5.1
✔ ggplot2   3.5.1     ✔ tibble    3.2.1
✔ lubridate 1.9.3     ✔ tidyr     1.3.1
✔ purrr     1.0.2     
── Conflicts ────────────────────────────────────────── tidyverse_conflicts() ──
✖ dplyr::filter() masks stats::filter()
✖ dplyr::lag()    masks stats::lag()
ℹ Use the conflicted package (<http://conflicted.r-lib.org/>) to force all conflicts to become errors

Attaching package: ‘kableExtra’

The following object is masked from ‘package:dplyr’:

    group_rows

Loading required package: viridisLite
Rows: 45240 Columns: 12
── Column specification ────────────────────────────────────────────────────────
Delimiter: ","
dbl (12): id_plant, gpcb_id, id_period, Hi, Ebari, ERit, shutdown, xi_it_hat...

ℹ Use `spec()` to retrieve the full column specification for this data.
ℹ Specify the column types or set `show_col_types = FALSE` to quiet this message.
Joining with `by = join_by(gpcb_id, period)`
Warning messages:
1: There were 4 warnings in `mutate()`.
The first warning was:
ℹ In argument: `line_plot = pmap(., line_plot_tibble)`.
Caused by warning:
! Using `size` aesthetic for lines was deprecated in ggplot2 3.4.0.
ℹ Please use `linewidth` instead.
ℹ Run `dplyr::last_dplyr_warnings()` to see the 3 remaining warnings. 
2: There were 8 warnings in `mutate()`.
The first warning was:
ℹ In argument: `animated_scatter_plots = pmap(., scatter_animate_tibble)`.
Caused by warning in `geom_text()`:
! Ignoring unknown parameters: `segment.size`, `min.segment.length`, and `arrow`
ℹ Run `dplyr::last_dplyr_warnings()` to see the 7 remaining warnings. 
3: There were 2 warnings in `mutate()`.
The first warning was:
ℹ In argument: `saving = pmap(...)`.
Caused by warning:
! Removed 6448 rows containing missing values or values outside the scale range
(`geom_line()`).
ℹ Run `dplyr::last_dplyr_warnings()` to see the 1 remaining warning. 
`summarise()` has grouped output by 'gpcb_id'. You can override using the
`.groups` argument.
